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Emergence of networks in large value payment systems (LVPSs)

Author

Listed:
  • Marco Galbiati
  • Simone Giansante

Abstract

This paper develops and simulates a model of emergence of networks in an interbank, RTGS payment system. A number of banks, faced with random streams of payment orders, choose whether to link directly to the payment system, or to use a correspondent bank. Settling payments directly via the system imposes liquidity costs, which depend on the maximum liquidity overdraft incurred during the day. On the other hand, using a correspondent entails paying a flat fee, charged by the correspondent to recoup liquidity costs and to extract a profit. We specify a protocol whereby banks sequentially choose whether to link directly to the system or to become clients of other banks, thus generating a client-correspondent network. We calibrate our model on real data on the UK payment system, and we compare the networks it produces with i) the true client-correspondent network, ii) the outcomes of two ‘dummy' benchmark models. The model is found to outperform the benchmarks. Its predicted networks reproduce some key features of the real UK network.

Suggested Citation

  • Marco Galbiati & Simone Giansante, 2010. "Emergence of networks in large value payment systems (LVPSs)," Department of Economic Policy, Finance and Development (DEPFID) University of Siena 0110, Department of Economic Policy, Finance and Development (DEPFID), University of Siena.
  • Handle: RePEc:usi:depfid:0110
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    File URL: http://repec.deps.unisi.it/depfid/text0110.pdf
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    Citations

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    Cited by:

    1. Galbiati, Marco & Soramäki, Kimmo, 2011. "An agent-based model of payment systems," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 859-875, June.
    2. Sheri Markose & Simone Giansante & Mateusz Gatkowski & Ali Rais Shaghaghi, 2010. "Too Interconnected To Fail: Financial Contagion and Systemic Risk In Network Model of CDS and Other Credit Enhancement Obligations of US Banks," Working Papers 033, COMISEF.
    3. Edoardo Rainone, 2015. "Testing information diffusion in the decentralized unsecured market for euro funds," Temi di discussione (Economic working papers) 1022, Bank of Italy, Economic Research and International Relations Area.
    4. Craig, Ben & von Peter, Goetz, 2014. "Interbank tiering and money center banks," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 322-347.
    5. Markose, Sheri & Giansante, Simone & Shaghaghi, Ali Rais, 2012. "‘Too interconnected to fail’ financial network of US CDS market: Topological fragility and systemic risk," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 627-646.
    6. Seungjin Baek & Kimmo Soramäki & Jaeho Yoon, 2014. "Network Indicators for Monitoring Intraday Liquidity in BOK-Wire+," Working Papers 2014-1, Economic Research Institute, Bank of Korea.
    7. Ms. Sheri M. Markose, 2012. "Systemic Risk from Global Financial Derivatives: A Network Analysis of Contagion and Its Mitigation with Super-Spreader Tax," IMF Working Papers 2012/282, International Monetary Fund.
    8. Charles M. Kahn & William Roberds, 2009. "Payments Settlement: Tiering in Private and Public Systems," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(5), pages 855-884, August.
    9. Denbee, Edward & Garratt, Rodney & Zimmerman, Peter, 2014. "Variations in liquidity provision in real-time payment systems," Bank of England working papers 513, Bank of England.
    10. Galbiati, Marco & Soramäki, Kimmo, 2012. "Clearing networks," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 609-626.

    More about this item

    Keywords

    RTGS; network formation; tiering; correspondent bank; Nash bargaining.;
    All these keywords.

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • G2 - Financial Economics - - Financial Institutions and Services

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